| """ Plots total number of CPU hours used | |
| To create a "jobstats.txt" run somthing like the following: | |
| > sacct -S 2020-01-01 -E 2021-10-06 -u avajpeyi -X -o "jobname%-40,cputimeraw,start" --parsable2 > jobstats.txt | |
| """ | |
| import matplotlib.pyplot as plt | |
| import numpy as np | |
| import pandas as pd | |
| from humanize import intword | |
| from matplotlib import ticker |
| """ Plots total number of CPU hours used | |
| To create a "jobstats.txt" run somthing like the following: | |
| > sacct -S 2020-01-01 -E 2021-10-06 -u avajpeyi -X -o "jobname%-40,cputimeraw,start" --parsable2 > jobstats.txt | |
| """ | |
| import matplotlib.pyplot as plt | |
| import numpy as np | |
| import pandas as pd | |
| from humanize import intword | |
| from matplotlib import ticker | |
| from datetime import timedelta, datetime, date |
| trigger-time=1268431094.157825 | |
| channel-dict={ H1:DCS-CALIB_STRAIN_CLEAN_SUB60HZ_C01, L1:DCS-CALIB_STRAIN_CLEAN_SUB60HZ_C01,V1:Hrec_hoft_16384Hz } | |
| coherence-test=False | |
| detectors=['H1', 'L1', 'V1'] | |
| duration=16.0 | |
| psd-dict={ H1:/home/daniel.williams/events/O3/event_repos/S200316a/C01_offline/psds/4096/H1-psd.dat, L1:/home/daniel.williams/events/O3/event_repos/S200316a/C01_offline/psds/4096/L1-psd.dat, V1:/home/daniel.williams/events/O3/event_repos/S200316a/C01_offline/psds/4096/V1-psd.dat } | |
| psd-fractional-overlap=0.5 | |
| post-trigger-duration=2.0 | |
| sampling-frequency=4096.0 | |
| psd-length=16 |
| ntasks-per-node = 48 | |
| time = 10:30:00 | |
| nodes = 4 | |
| mem-per-cpu="2GB" | |
| extra-lines = "module --force purge && module load git/2.18.0 git-lfs/2.4.0 gcc/9.2.0 openmpi/4.0.2 numpy/1.19.2-python-3.8.5 mpi4py/3.0.3-python-3.8.5 && module unload zlib && source /fred/oz980/avajpeyi/envs/sstar_venv/bin/activate" | |
| # The following are the same as bilby_pipe | |
| label = GW150914 | |
| outdir = outdir_GW150914 | |
| trigger-time = 1126259462.391 |
| import logging | |
| import os | |
| from gwpy.timeseries import TimeSeries | |
| TRIGGER_TIME = 1126259462.4 | |
| GPS_START_TIME = TRIGGER_TIME - 2 | |
| DATA_DURATION = 4 | |
| EXTRA_DATA = 10 | |
| DATA_START_TIME = int(GPS_START_TIME) - EXTRA_DATA |
To install COMPAS, it would be nice if all the user needs to do is:
pip install compasThis can be configured to not only install COMPAS python code, but also the CPP code. It can also be confiugured to find user's boost libs etc (no need to manually edit the make-file).
Then a user can run COMPAS with: